CN114418433A

CN114418433A - Intelligent scheduling and delivery system based on cloud service

Info

Publication number: CN114418433A
Application number: CN202210098193.3A
Authority: CN
Inventors: 张建春; 王凤娟; 吴庭智; 张楷雨
Original assignee: Mobaier Tianjin Big Data Technology Co ltd
Current assignee: Mobaier Tianjin Big Data Technology Co ltd
Priority date: 2022-01-27
Filing date: 2022-01-27
Publication date: 2022-04-29

Abstract

The invention provides an intelligent scheduling and delivery system based on cloud service, which comprises: the system comprises intelligent positioning equipment, intelligent acquisition equipment, edge computing equipment, a terminal and a cloud server; the intelligent positioning device is used for monitoring vehicle track information in real time, the intelligent acquisition device is used for acquiring various information, and the information is uploaded to the edge computing device through the wireless communication module to be analyzed and compared to obtain analysis data; the edge computing equipment is used for carrying out non-inductive image recognition to obtain positioning data; and the terminal and the cloud server are used for transmitting the positioning data and the collected and analyzed data to the wireless communication module in real time, and displaying and alarming. The intelligent dispatching and distributing system of the invention carries out multiple intelligent associations, avoids congestion and improves the operation efficiency.

Description

Intelligent scheduling and delivery system based on cloud service

Technical Field

The invention relates to the field of transportation, in particular to an intelligent dispatching and delivering system based on cloud service.

Background

Enterprises such as dry and bulk cargo wharfs and steel mills relating to bulk commodity logistics transportation business can have a large number of operation vehicles to enter a field for operation every day, with the increasing year by year of the transportation volume of bulk commodities in China, owners and agents of goods can not accurately acquire operation condition information inside the dry and bulk cargo wharf field in the existing telephone or field reservation mode, and can not select optimal entrance time, vehicles inside the field are blocked, and long-time queuing of vehicles outside the field becomes a normal state, so that a large amount of financial resources, manpower and material resources are wasted on a cargo demand side, a cargo transportation side and a cargo supply side.

In the prior art, a plurality of units research the transportation mode of dry and bulk goods, and corresponding systems are also available, but all the systems have some defects, for example, some systems only use a dry and bulk goods wharf as an information distribution platform unilaterally, only move a goods owner and a goods agency on-line reservation mode to the on-line, and do not form data intercommunication, so that a freight driver can continue to move to the on-line under the condition that the site of the dry and bulk goods wharf is possibly blocked; after the freight drivers arrive at the site, the electronic bills are printed off-line; the deployment mode is inconvenient, only local deployment can be adopted, and the burden is increased for later operation and maintenance; to date, no suitable dispatch delivery platform has been widely used on the market.

In view of the above, the present invention is particularly proposed.

Disclosure of Invention

In view of the above, the invention discloses an intelligent scheduling and distribution system based on cloud service, which mainly relates to the technologies of internet of things, artificial intelligence, image recognition and vehicle positioning, and can realize data communication between a production system of a demand side of dry and scattered goods and a wharf production system, provide unified and accurate operation real-time information and reasonable prediction of a distribution and distribution plan of transportation route management and control for a shipper, a generation of goods, a driver and a dispatcher, improve efficiency and improve convenience.

Specifically, the invention is realized by the following technical scheme:

the invention discloses an intelligent scheduling and delivery system based on cloud service, which comprises: the system comprises intelligent positioning equipment, intelligent acquisition equipment, edge computing equipment, a terminal and a cloud server;

the intelligent positioning device is used for monitoring vehicle track information in real time, the intelligent acquisition device is used for acquiring various information, and the information is uploaded to the edge computing device through the wireless communication module to be analyzed and compared to obtain analysis data; the edge computing equipment is used for carrying out non-inductive image recognition to obtain positioning data; and the terminal and the cloud server are used for transmitting the positioning data and the collected and analyzed data to the wireless communication module in real time, and displaying and alarming for prompt.

The scheme of the invention firstly provides a series of intelligent associations such as seamless docking with a business production system of a wharf enterprise or a production and manufacturing enterprise such as a steel mill, a power plant and the like, external vehicles enter a platform and go out of the platform, the whole operation link is completely managed in a closed loop mode, safe training is carried out, the system is invoiced, an operation field area is distributed, route planning in the field is carried out, violation monitoring is carried out, violation punishment is carried out, vehicle congestion is avoided, and operation efficiency is improved.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

fig. 1 is a schematic structural diagram of an intelligent scheduling delivery system according to an embodiment of the present invention;

fig. 2 is a flowchart of an operation of an operator according to an embodiment of the present invention;

FIG. 3 is a flowchart illustrating operation of the owner end according to an embodiment of the present invention;

FIG. 4 is a flowchart illustrating the operation of the fleet end according to an embodiment of the present invention;

fig. 5 is a flowchart of the operation of the driver side according to the embodiment of the present invention.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.

The invention provides an intelligent scheduling and delivery system based on cloud service, which comprises: the system comprises intelligent positioning equipment, intelligent acquisition equipment, edge computing equipment, a terminal and a cloud server;

Although the vehicles are reserved before entering the operation area, the vehicles in the area and on the road are still jammed due to various problems such as limited operation capacity in the area, non-regular reservation by drivers (such as reservation after the door is reached, non-reservation at the time point of reservation and the like).

In order to solve the technical problems, the invention provides an intelligent scheduling and delivery system based on cloud service, which improves the operation efficiency and greatly simplifies the operation process in an intelligent association mode.

Preferably, the intelligent delivery system of the invention further comprises an application system, wherein the application system comprises a harbor-dredging reservation management unit for realizing the purposes of reserving and paying fees on line by drivers, robbing orders on line, dispatching vehicles by fleets on line and inquiring the state of the vehicles on line so as to directly reserve and then carry out harbor operation.

The application system can reduce or reduce the vehicle congestion, improve the transport efficiency of drivers and reduce the transport cost of drivers.

Preferably, the application system comprises an external service management unit, and the external service management unit comprises a plan declaration, a plan query, a pound order query, a statistical analysis, a content announcement, a team registration, a plan query, vehicle scheduling, business tracking, driver registration, a fleet task and a cargo source searching module.

Therefore, the external service management unit improves the operating efficiency of the shipper, the dock, the driver and the fleet, and further improves the service quality of the port.

Preferably, the application system comprises a vehicle thermodynamic diagram management unit, and the vehicle thermodynamic diagram management unit is used for checking the thermodynamic diagram of the current port vehicle, the congestion condition of the vehicle around the port and the condition of the operation vehicle inside the port. The mode is convenient for a driver to arrange the time for entering a port more reasonably, reduces the waiting time of operation and improves the operation efficiency.

Preferably, the application system includes an electronic fence management unit, and the electronic fence management unit is configured to draw an electronic fence, monitor the vehicle when the vehicle enters a corresponding electronic fence area, and trigger a corresponding early warning report according to the set early warning information.

Preferably, the application system comprises an intelligent scheduling management unit, and the intelligent scheduling management unit performs intelligent scheduling on the collection and distribution port vehicles according to data such as an electronic map, an electronic fence and a thermodynamic diagram.

Meanwhile, the intelligent scheduling management unit can manage the operation machines in the field area through the scheduling command center so as to realize multidirectional simultaneous operation at the same stack position.

Preferably, the intelligent scheduling and delivery system of the present invention further comprises a user side, wherein the user side comprises an operation end and a cargo owner end, and the specific operation end and the cargo owner end refer to the working contents shown in fig. 2-3;

the goods owner selects a corresponding operation terminal to carry out plan submission according to the demand plan, and the operation terminal checks the plan after receiving the submission plan;

and if the audit is passed, informing the cargo demand party to start the plan, and if the audit is not passed, informing the cargo owner end of the reason and the estimated delay time according to the operation end butted with the production system of the dry bulk cargo wharf.

The operation end can also perform data analysis and AI autonomous learning according to the plan data cumulatively formulated by the cargo demand enterprise, and reversely push more appropriate plan contents and message reminding to the cargo demand enterprise (cargo owner end).

The business of the operation end also comprises related hardware equipment under a wharf line, the functions of drawing an electronic map and monitoring the vehicle are completed through a GIS system, intelligent positioning equipment and intelligent image acquisition equipment, a reasonable block area is planned on the electronic map to be an electronic fence, the track state of vehicle operation is monitored together with a vehicle positioning system, the non-compliance behaviors such as illegal parking, overspeed driving and the like are recorded, corresponding points of the vehicle are deducted from a platform, and the subsequent approach of the vehicle is delayed or limited according to the deducted point level.

The system can guarantee normal operation of the port-dredging goods-picking service through on-line port-entering reservation and on-line payment, and reduces occupation of field sites and occupation of personnel by canceling off-line buffer zones, so that the wharf working efficiency is improved. In addition, the system can check the real-time information of the number of the vehicles operating in the yard, the number of the vehicles waiting for entering the yard, the number of the dispatched vehicles and the like, and master the dynamic state of the vehicles in the yard.

Preferably, the user side comprises a motorcade end, a driver end, specific working contents of the motorcade end and the driver end are shown in fig. 4-5;

the motorcade end and the driver end are connected with the operation end in a data mode, a motorcade end user fills in freight price quotations according to published planning contents and dispatches the freight price quotations to own drivers, a plan is forwarded to enable the individual drivers to take orders, and the drivers drive according to a given planning route;

if the vehicle deviates from the driving route, an alarm sound is sent to prompt the driver, the user at the other end is informed to check the real-time position of the delivery, and the driver settles the cost through the mobile end after the delivery order is completed.

In summary, a general schematic diagram of a general organization framework of the cloud service-based intelligent scheduling and delivery system of the present invention is shown in fig. 1, and it can be seen from fig. 1 that the intelligent scheduling system of the present invention has more complete functions, and can realize the mutual cooperation of various modules and units.

Finally, it should be noted that: while this specification contains many specific implementation details, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features specific to particular embodiments of particular inventions. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. In other instances, features described in connection with one embodiment may be implemented as discrete components or in any suitable subcombination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.

Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.

Thus, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. Further, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some implementations, multitasking and parallel processing may be advantageous.

The above description is only exemplary of the present disclosure and should not be taken as limiting the present disclosure, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.

Claims

1. An intelligent scheduling delivery system based on cloud service, comprising: the system comprises intelligent positioning equipment, intelligent acquisition equipment, edge computing equipment, a terminal and a cloud server;

the intelligent positioning device is used for monitoring vehicle track information in real time, the intelligent acquisition device is used for acquiring various information, and the information is uploaded to the edge computing device through the wireless communication module to be analyzed and compared to obtain analysis data; the edge computing equipment is used for carrying out non-inductive image recognition to obtain positioning data; and the terminal and the cloud server are used for transmitting the positioning data and the collected and analyzed data to the wireless communication module in real time, and displaying and alarming.

2. The intelligent dispatching and delivery system of claim 1, wherein the intelligent dispatching and delivery system comprises an application system, and the application system comprises a collecting and distributing port reservation management unit, so as to realize the on-line reservation payment of drivers, the on-line order grabbing, the on-line vehicle dispatching of fleets, and the on-line vehicle status query, so as to perform port operation after direct reservation.

3. The intelligent scheduling delivery system of claim 2 wherein the application system comprises an outbound service management unit comprising plan declaration, plan query, pound sign query, statistical analysis, content announcement, fleet registration, plan query, vehicle scheduling, traffic tracking, driver registration, fleet mission, source lookup module.

4. The intelligent dispatch delivery system of claim 2, wherein the application system comprises a vehicle thermodynamic diagram management unit for reviewing a thermodynamic diagram of a current port vehicle, a congestion situation of the vehicle around the port, and a situation of the work vehicle inside the port.

5. The intelligent scheduling and delivery system according to claim 2, wherein the application system comprises an electronic fence management unit, and the electronic fence management unit is configured to draw an electronic fence, monitor the vehicle when the vehicle enters a corresponding electronic fence area, and trigger a corresponding early warning report according to the set early warning information.

6. The intelligent dispatching distribution system of claim 2, wherein the application system comprises an intelligent dispatching management unit, and the intelligent dispatching management unit intelligently dispatches the collection and distribution port vehicles according to data such as an electronic map, an electronic fence, a thermodynamic diagram and the like.

7. The intelligent scheduling delivery system of any one of claims 1-6 further comprising a user side, wherein the user side comprises an operator side and a goods owner side;

8. The intelligent scheduling delivery system of claim 7 wherein the user side comprises a fleet end, a driver end;

the motorcade end and the driver end are connected with the operation end in a data mode, a motorcade end user fills in freight price quotations according to published plan contents and dispatches the freight price quotations to own drivers, a plan is forwarded to enable the individual drivers to take orders, and the drivers drive according to a given planned route;